import torch

cls_vector = torch.tensor([[-2.0905e-01,  7.6159e-02,  2.0476e-01, -6.1146e-02,  3.8538e-01,
                2.8977e-01, -1.5205e-01, -1.5475e-01,  2.0594e-01,  1.5075e-02,
                -3.0165e-01,  3.0277e-02, -5.2649e-02, -3.1679e-01, -1.3434e-01,
                3.3429e-02, -5.3884e-01, -2.7324e-01,  5.8548e-02],
                [-7.2004e-02,  1.3898e-01,  1.2121e-01, -3.4833e-02, -1.6457e-01,
                -1.1275e-01, -2.0859e-01,  1.3453e-01,  1.2065e-01,  1.1246e-01,
                -1.0470e-01,  4.1838e-01, -3.0120e-01,  3.0297e-01,  1.2694e-01,
                -4.5950e-01, -4.4619e-02, -2.6992e-01, -4.0047e-01],
                [-8.7340e-02, -4.7691e-01, -5.4570e-01, -1.6203e-01, -3.4535e-01,
                2.5958e-01,  8.6487e-02,  1.3437e-01,  2.4876e-01, -7.6262e-02,
                6.7205e-02,  1.7503e-01, -9.2149e-02,  3.6307e-02, -1.3047e-01,
                9.1401e-02, -1.8027e-01, -2.1754e-01,  1.0411e-01],
                [-3.1545e-02, -1.0727e-01, -4.3146e-02,  8.1858e-02, -3.5247e-02,
                3.7605e-01, -1.4239e-01, -1.1872e-01, -4.4906e-01, -5.2841e-01,
                1.2744e-01,  2.3622e-02, -1.1965e-01, -2.8065e-01,  3.2957e-01,
                -1.0401e-01,  2.1484e-02,  3.8672e-05, -3.0210e-01],
                [-4.9508e-01, -4.1679e-01,  3.3606e-01, -2.4871e-01, -1.0965e-01,
                -1.6376e-01, -1.0669e-01, -8.7130e-02, -3.7808e-01,  1.8349e-01,
                9.5753e-04, -8.9594e-02,  1.2110e-01,  1.1447e-01,  9.2191e-02,
                9.7822e-02,  1.0322e-01, -2.9997e-01,  1.3214e-01],
                [-1.9718e-01, -5.6295e-02,  3.1861e-01,  2.9729e-01, -2.3540e-01,
                3.0471e-01, -2.5572e-02, -3.9709e-02, -4.2028e-02,  1.8793e-02,
                1.0739e-01,  1.7314e-01, -2.4264e-01,  1.9300e-01, -1.2943e-01,
                -1.7033e-01, -1.6070e-01,  4.7821e-01,  4.2135e-01],
                [ 1.8954e-01, -2.8798e-01,  3.2754e-01, -1.4448e-01, -6.2873e-02,
                -1.0477e-01,  1.7213e-01, -5.8604e-02,  8.6229e-03, -1.2372e-01,
                -8.3111e-02,  2.8022e-01,  1.3977e-01,  1.2273e-01, -1.4383e-01,
                3.8119e-01, -2.8298e-01,  3.1767e-01, -4.7181e-01],
                [ 3.6380e-01, -2.9240e-01, -1.3951e-01,  9.0889e-02,  2.4272e-01,
                3.0823e-01, -4.9492e-01, -9.6840e-02, -1.5726e-01,  3.0838e-01,
                -1.2193e-01,  8.1617e-02,  3.2946e-01,  2.3771e-01, -9.7246e-02,
                -1.3251e-01,  9.4791e-02,  5.8477e-02, -1.8633e-02],
                [-3.5953e-01,  1.0411e-01, -3.2194e-01, -1.0584e-01,  4.2926e-01,
                1.5669e-01,  4.4000e-01,  3.0125e-03, -3.3333e-01,  7.3241e-02,
                -1.5836e-01,  1.0312e-01, -8.7544e-02,  2.9820e-01, -1.8928e-01,
                -8.1306e-02,  5.8836e-02,  1.5589e-01, -1.5376e-01],
                [-8.1522e-02, -1.2881e-01, -1.9082e-02,  3.8732e-01,  2.8086e-01,
                6.8053e-02,  9.1492e-02, -4.4414e-02,  1.5546e-01,  3.7200e-01,
                4.8248e-01,  2.7771e-02, -1.7260e-01,  8.3057e-02,  4.0174e-01,
                3.0313e-01, -9.9150e-02, -8.8184e-02, -1.6982e-01],
                [ 5.5283e-03, -2.1310e-01,  8.8797e-02,  3.2461e-01, -1.7232e-01,
                1.6161e-01,  1.8501e-01,  7.4985e-02,  1.3260e-01,  1.8081e-02,
                -4.7101e-01, -6.2111e-01, -9.6465e-02,  1.9528e-01,  9.0882e-02,
                -7.8360e-02, -5.6922e-03, -3.6667e-02, -2.3852e-01],
                [ 3.3081e-01, -3.0518e-01, -4.8841e-02, -2.6317e-01,  2.3669e-01,
                -2.5247e-01, -1.7162e-02, -1.2871e-02, -1.2269e-01,  7.1143e-02,
                -2.1269e-01, -2.8869e-02, -6.3032e-01, -8.8002e-02,  2.2597e-01,
                -2.3682e-02, -4.9539e-02,  1.6642e-01,  2.2926e-01],
                [-2.1415e-01, -5.7692e-02, -1.3425e-01,  1.6528e-01, -1.8066e-01,
                -9.7596e-02, -1.9554e-01, -1.8169e-01, -2.1039e-02,  3.4623e-01,
                -6.7646e-02,  1.3857e-02, -2.5975e-01, -4.8695e-01, -3.9392e-01,
                8.1133e-02,  2.5744e-01,  1.8590e-01, -3.1590e-01],
                [-3.3737e-01,  1.2382e-01, -1.0949e-01, -2.2890e-01,  1.1268e-01,
                2.8695e-02, -5.3011e-01,  1.7168e-01,  2.7354e-01, -2.2202e-01,
                -4.2928e-02, -1.7395e-01, -1.0442e-01,  2.6223e-01,  1.2330e-01,
                3.3314e-01,  1.1853e-01,  3.1755e-01, -7.4114e-02],
                [ 1.3139e-01,  3.3645e-01, -2.0257e-01, -4.2801e-03, -2.7894e-01,
                -7.7428e-02, -1.8733e-01, -5.4272e-03, -4.5748e-01,  1.6368e-01,
                9.6491e-02, -2.4920e-01, -1.3524e-01,  1.9494e-01, -1.2413e-01,
                2.2121e-01, -5.2175e-01, -8.7228e-02, -4.0087e-02],
                [ 6.2680e-02,  1.0564e-01,  5.1959e-02,  3.5334e-01, -1.8097e-02,
                6.2542e-02, -2.0771e-02,  3.9429e-01, -2.0583e-01, -5.9528e-02,
                -3.8636e-01,  3.5918e-01, -8.6004e-02, -2.0779e-02,  1.6253e-02,
                4.8008e-01,  2.2287e-01, -2.3209e-01,  1.7588e-01],
                [ 1.8460e-01,  2.3874e-01,  2.2342e-01, -4.8515e-01, -1.9486e-01,
                5.7049e-01,  1.5704e-01,  7.6239e-04,  3.2375e-02,  3.2915e-01,
                3.8903e-02, -4.4624e-02, -1.2967e-01, -4.3929e-02,  1.0203e-01,
                1.5980e-01,  2.5364e-01, -2.7999e-02, -5.3304e-02],
                [-1.7283e-01,  7.4303e-02, -2.0853e-01, -4.3103e-02, -1.9818e-01,
                -4.7509e-02,  4.5480e-02,  1.0534e-01, -3.5979e-02,  3.0042e-01,
                -3.0807e-01,  1.5283e-01,  3.4009e-01, -2.5162e-01,  5.5012e-01,
                -7.6136e-02, -2.2719e-01,  3.3888e-01,  3.0235e-02],
                [ 6.0282e-03,  1.3820e-01, -1.4528e-01,  7.1170e-02, -1.5495e-01,
                -4.3258e-02,  3.1540e-02, -8.1669e-01,  1.1314e-01, -1.0214e-01,
                -2.4002e-01,  1.5728e-01, -3.8528e-02,  2.3365e-01,  1.7082e-01,
                1.8335e-01,  1.2335e-01, -9.2474e-02,  1.1235e-01]])
